About
This are the learning materials for introduction to the R programming language. These are divided into sessions based on series of topics.
Although this is created based on webinar-sessions in mind, it can also adopted as self-learning material.
Audience
Focused with Ecological applications.
Prerequisites
- No prior programming experience is required.
- Good internet connection
- A very basic knowledge of UNIX would be an advantage, but nothing will assumed and extremely little will be required.
Objectives
After going though this you should feel confident to start exploring your own dataset using the materials and references provided. Including things like:
- Import data and plot graphs
- Perform statistical tests in R
- Create a documented and reproducible piece of R code
- Know how to develop your skills in R after the course
Aims
During this course you will learn about:
- The R and R Studio interface
- Basic object types in R
- Importing tabular data into R
- Manipulating data in R
- Using in-built functions
- Basic data analysis in R
- Basic Plotting
- Customizing plots
- Creating reproducible reports in R
Resources:
This materials are combination of one or more resources listed bellow.
Created and Maintained by Sangram Keshari Sahu
Rmarkdown Template used from Rmdplates package
Licensed under CC-BY 4.0
Source Code At GitHub